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Burial and secondary dispersal of small seeds in a tropical forest

Published online by Cambridge University Press:  01 November 2008

Toby R. Marthews*
Affiliation:
School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
Christopher E. Mullins
Affiliation:
School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
James W. Dalling
Affiliation:
Department of Plant Biology, University of Illinois, Urbana-Champaign, IL 61801, USA
David F. R. P. Burslem
Affiliation:
School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
*
1Corresponding author. Email: Toby.Marthews@lsce.ipsl.fr
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Abstract:

Secondary dispersal is an important stage in the life cycle of tree species, determining the fate of a high proportion of all seeds. For small-seeded species both physical and biological processes may influence the secondary fate of seeds, however the relative importance of these processes is not well known. Seeds of the pioneer tree species Cecropia insignis (seed mass 0.5 mg), Trema micrantha (2.5 mg) and Apeiba aspera (14.2 mg) and five types of artificial seed were sown in understorey, treefall-gap and large-gap sites on Barro Colorado Island, Panama, during the wet season of 2005. Sowing areas were excavated after periods up to 26 d and cores divided into depths of 0–5, 5–10, 10–20 and 20–50 mm to allow high-resolution estimation of the rate and amount of burial and displacement of seeds. Over 26 d, 2.8% of artificial seeds were buried to a mean depth of 10.5 mm below the soil surface and 43.9% of unburied seeds displaced laterally >5 cm. Significantly more (87.9% and 80.9%) seeds of Cecropia insignis and Trema micrantha were displaced than artificial seeds of similar mass, size and density. A generalised linear model suggested that burial mostly occurred within 15 d, while displacement occurred continuously up to 26 d. The dominant cause of displacement and burial was probably rainfall, while seed removal by ants may also have contributed to displacement.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2008
Figure 0

Table 1. Natural and artificial seeds. Size ranges were estimated, except for the polystyrene beads and the magnetite which were graded. Densities were calculated from the volume (measured using water displacement in a pipette tube, or calculated in the case of the spherical polystyrene beads). Trema micrantha seeds were of the large-seeded morphotype which has seeds with a black, sculpted endocarp (Silvera et al. 2003, Yesson et al. 2004). Cecropia insignis seeds were elongated ellipsoids, hence their smaller mass compared to the spherical Trema micrantha seeds. Beads were entire except the haberdashery beads, which were cylindrical with a coaxial threading hole 0.5 mm in diameter. Nomenclature follows Croat (1978).

Figure 1

Table 2. Fates of sown seeds over all treatments, expressed in terms of displacement and burial (mean ± SE, n = 72 sample areas). Undisplaced and unburied seeds were recovered from the soil surface at < 5 mm depth. Background densities of seeds from cores taken in all sites have been subtracted.

Figure 2

Figure 1. Burial (a, c, e) and displacement (b, d) in relation to seed mass (C = Cecropia insignis, T = Trema micrantha, A = Apeiba aspera, M = magnetite particles, E = polystyrene beads, B = blue beads, O = orange beads, P = pink beads). Horizontal bars show the mean ± SD masses of seeds (Table 1) and vertical bars mean ± SE (Table 2). The vertical line denotes for reference the estimated mass of a 0.5-mm-diameter spherical soil particle (0.2 mg) and the horizontal line the mean of beads (Table 2). Note the inverted scale in (e).

Figure 3

Appendix 1. Generalized linear models. Predictors were Exposure time (between sowing and excavation), Gap size, Starting litter (present just after sowing), Litter accumulation rate (net) and θ (volumetric soil water content). Each row is a model fit, with link functions: (estimate) = η mm for (burial depth) and (estimate) = 100 × exp(η)/(1 + exp(η)) % for all other response variables, where η = (c0 + c1×time + . . . + c5×θ). Values in parentheses were significant, but explained < 5% of the variation (scaled deviance) in the response variable.